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Incorporating past human movement into indoor location positioning systems for accurate updates

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Furey, E, Curran, K and McKevitt, P (2010) Incorporating past human movement into indoor location positioning systems for accurate updates. In: Proc. of the 10th International Conference on Information Technology & Telecommunication (IT&T 2010), Letterkenny Institute of Technology (LYIT), Letterkenny, Ireland. Letterkenny Institute of Technology (LYIT). 8 pp. [Conference contribution]

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URL: http://ittconference.ie/index.php?page=10th-annual-conference---lyit


Using Wi-Fi signals is an attractive and reasonably affordable solution to the currently unsolved problem of widespread tracking in an indoor environment. However, this approach is hampered due to the underlying characteristics of radio waves (i.e. multipath effects) and due to infrastructural requirements. HABITS (History Aware Based Indoor Tracking System) overcomes these difficulties by modeling the historical movement habits of people in a workplace environment. It then learns from these habits and intelligently predicts the next location using a discrete Bayesian filter. This knowledge not only improves on currently available systems in terms of accuracy, yield and latency but can also be used as an input to building automation (heating, lighting) systems as an energy saving feature.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Arts
Faculty of Computing & Engineering
Faculty of Arts > School of Creative Arts and Technologies
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:21338
Deposited By:Professor Paul McKevitt
Deposited On:09 Mar 2012 14:53
Last Modified:09 Mar 2012 14:53

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